A revolução digital impacta a administração pública e transforma gradualmente as atividades prestadas pelo Estado. Ela vem acompanhada de desafios e de necessidades que surgem à medida que as tecnologias se aprimoram. O artigo propõe percorrer o percurso do uso das TICS no âmbito organizacional estatal, examinando desde a concepção inicial de governo eletrônico, chegando até os trabalhos mais recentes que aludem ao governo digital. O trabalho é descritivo e lógico-dedutivo. Primeiro, examina-se as fundações do governo eletrônico, com suas classificações, identificações e tipos de interação. Em segundo, são trabalhadas as ideias e propostas do governo aberto. Após, o conceito de governo digital é explorado com suas questões-chave. Finalmente, são traçados o processo evolutivo da transformação digital na administração pública.

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The training with weights or the training with mass became one of the most known exercise both the athletes' performance and improved the no athletes' physical conditions. The aim of this study is to compare the effects of the localized (callisthenic) gymnastic training (LGT) and weight lifting (WT) on no athletes women. There were 48 women assessed-25 of them practiced localized gymnastic training (LGT) and 23 practiced weight lifting (WT), within age bracket from 20 to 37 years old. The volunteers should have been practicing their activities since six months before and they could not practice the two activities simultaneously. All of them were submitted for the Push-up Test and abdominal fl exion Test according to Pollock's; Wilmore's protocol (1993). Through Mann-Whitney's test there was a statistically signifi cant difference, α= 5% to the variant Push-up. Then results were coherent with the expectations, because the Push-up is a basic exercise to LG. So, there is an index that LG may present a differentiated impact from weight lifting training to convergent variables with the specifi city of the modality.

This chapter presents a state-of-the-art compilation on facial motion and expression analysis. The core of the chapter includes the description and comparison of methods currently being developed and tested to generate face animation from monocular static images and/or video sequences. These methods are categorized into three major groups: “those that retrieve emotion information,” “those that obtain parameters related to the Face Animation synthesis used,” and “those that use explicit face synthesis during the image analysis.” A general overview about the processing fundamentals involved in facial analysis is also provided. Readers will have a clear understanding of the ongoing research performed in the field of facial expression and motion analysis on monocular images by easily finding the right references to the detailed description of all mentioned methods.